SAM #HR001126S0008

DARPA AutoDIDACTS Program: Research for Aeronautical Design and Turbulence Control

DARPA's Defense Sciences Office is seeking innovative research proposals for the AutoDIDACTS program, focused on advancing aeronautical design and control of turbulent systems. - Government Buyer: - Defense Advanced Research Projects Agency (DARPA), Defense Sciences Office (DSO), Arlington, VA - Program Overview: - AutoDIDACTS aims to develop data-informed, generalizable models and macroscale design principles for aeronautical systems - Emphasis on revolutionary advances in science and technology, not incremental improvements - Research spans low-Re, transonic, supersonic, and hypersonic regimes - Products/Services Requested: - Research and development services for: - Precision experimental data acquisition from tunable turbulence simulators - Automated discovery of macroscale design principles and surrogate models - Validation of model accuracy and generalizability - Demonstration of solutions to aeronautical design and turbulence control challenge problems - Program Structure: - Phase I: 24 months for model development and validation - Phase II: 24 months for demonstration of challenge problems (metrics to be released later) - Multiple awards anticipated - Unique Requirements: - Proposals must pursue transformative, not evolutionary, advances - Use of AI-based model discovery and precision experimental data is highlighted - No specific OEMs, vendors, or product part numbers are identified in the solicitation - Place of Performance: - DARPA Defense Sciences Office, 675 North Randolph Street, Arlington, VA

Description

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative proposals for the data-informed development of generalizable models and principles for aeronautical design and the optimal control of turbulent systems. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.

View original listing